Triple
T10892008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleg Znarok |
E257199
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oleg |
E357811
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oleg | Statement: [Oleg Znarok, givenName, Oleg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleg Context triple: [Oleg Znarok, givenName, Oleg]
-
A.
Oleg
chosen
Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
-
B.
Sviatoslav
Sviatoslav is a masculine given name of Slavic origin, historically borne by medieval rulers such as Sviatoslav I of Kiev.
-
C.
Vsevolod
Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
-
D.
Oleg Sviatoslavich
Oleg Sviatoslavich was a medieval prince of the Rurikid dynasty who ruled over Chernigov and played a significant role in the complex dynastic struggles of Kievan Rus'.
-
E.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f34d1e108190ad281dae6c92634e |
completed | April 19, 2026, 3:22 p.m. |
Created at: April 8, 2026, 9:21 p.m.